Search Results (16)

The plague of cyberbullying on social media exerts a dangerous influence on human lives. Due to the fact that online social networks continue to daily expand, the proliferation of hate speech is also growing. Consequentially, distressing content is often implicated in the onset of depression and suicide-related behaviors. In this paper, we propose an innovative framework, named as the trustable LSTM-autoencoder network (TLA NET), which is designed for the detection of cyberbullying on social media by employing synthetic data. We introduce a state-of-the-art method for the automatic production of translated data, which are aimed at tackling data availability issues. Several languages, including Hindi and Bangla, continue to face research limitations due to the absence of adequate datasets. Experimental identification of aggressive comments is carried out via datasets in Hindi, Bangla, and English. By employing TLA NET and traditional models, such as long short-term memory (LSTM), bidirectional long short-term memory (BiLSTM), the LSTM-autoencoder, Word2vec, bidirectional encoder representations from transformers (BERT), and the Generative Pre-trained Transformer 2 (GPT-2), we perform the experimental identification of aggressive comments in datasets in Hindi, Bangla, and English. In addition to this, we employ evaluation metrics that include the F1-score, accuracy, precision, and recall, to assess the performance of the models. Our model demonstrates outstanding performance across all the datasets by achieving a remarkable 99% accuracy and positioning itself as a frontrunner when compared to previous works that make use of the dataset featured in this research. Full article

This article is based on a months-long investigation and aims to contribute to the scientific understanding of the process of racialisation of the sub-Saharan migrants in Tunisia. The starting point of our research was the speech given by the Tunisian president, Kais Saied, in February 2023. In the light of new negotiations with the EU for technical, administrative, and financial support in the management of migration in the Mediterranean, the president emphasised the importance of Tunisia being and remaining Arab and Muslim. The sub-Saharan migrants who have penetrated the Mediterranean area in large numbers, mostly via Libya or Algeria, are black. Many of them are also Christians. The Tunisian case regarding the racialisation of migrants is similar to the dynamics of political discourses and actions of systemic racialisation in European countries. Our thesis is that racialisation based on religion and/or skin colour is part of a more complex dynamic, defined by the capitalist mode of production, which, due to its inner contradictions, simultaneously requires and expels human labour force. We claim that the permanently expelled constitute surplus populations that are, due to not being disciplined by the capitalist markets, considered dangerous, which is why they fall under police jurisdiction. This process of policing surplus populations is what constitutes contemporary systemic racism as a special mode of state politics, whereby “race” is the result of said process and not determined by its biological, religious, ethnic, or cultural characteristics. We support our thesis by a fieldwork study consisting of qualitative interviews with Tunisian experts, conducted based on purposive sampling and subsequent qualitative coding, as well as of three personal narrative interviews, which were conducted with sub-Saharan migrants from Cameroon, who had been living in a refugee “village” in the north of Tunisia for more than a year. Full article

This paper analyzes the discourse concerning Islam and Muslims by assessing the extreme right-wing party, Vox, on Twitter. In addition, this paper examines the incidence (impact and reactions) of this party on the users of this social network. The objectives of this study are as follows: to identify themes and topics concerning this discourse; to analyze how the discourse is articulated and represented; and to understand the impact of this discourse by measuring the engagement of the most viral publications. To do so, we observed the publications posted by the party via its official account throughout 2022. The research methodology was based on qualitative and quantitative content analysis, and the publications themselves were monitored to ascertain the level of engagement. The results of this study clearly show that Vox created Islamophobic narratives; thus, Islam and Muslims are explicit targets of Vox’s hate speech. Their rhetoric referred to security threats and threats to national identity, with the recurrent use of the idea that there is a “danger of Islamization” in Spain. The party uses disinformation and hoaxes, and users respond in a polarized way. The results of this study alert us to the worrying levels of radicalization and the normalization of Islamophobic racist discourse in the examined context. Full article

High hygiene standards were established during the COVID-19 epidemic, and their adherence was closely monitored. They included the need to regularly wash one’s hands and the requirement to cover person’s upper airways or keep at least a two-meter space between individuals. The ITS (Information Technology Systems) community made a big contribution to this by developing methods and applications for the ongoing observation of people and the environment. Our major objective was to create a low-cost, straightforward system for tracking and assessing the danger of spreading COVID-19 in a space.The proposed system collects data from various low-cost environmental sensors such as temperature, humidity, CO${}_2$, the number of people, the dynamics of speech, and the cleanliness of the environment with a significant connection to elements of wearable electronics and then evaluate the level of contamination and possible risks and, in the event of a high level of risk, alerts the person to take actions that can reduce or eliminate favourable conditions for the spread of the virus. The system was created at the Laboratory of industrial control systems of the University of Žilina, Slovakia. The experiment demonstrates the ability and feasibility to control the number of people in a space depending on particular symptoms like fever, coughing, and hand hygiene. On the other hand, the laboratory’s temperature, humidity, and air quality should be controlled to reduce the spread of illness. Full article

Religious hate propaganda, which is sustained communication by an authority that attempts to guide an audience towards persecuting others based on religion, is a speech crime. Yet, it is one of the least understood and most difficult speech crimes to prosecute. This is due to misunderstandings and epistemic gaps regarding how persecutory language, which would otherwise have little significance for prosocial religious adherents, becomes meaningful for a religious community. Drawing from the cognitive science of religion (CSR), this article develops and explores the hypothesis that for some religious communities, discursive attacks on others become meaningful when they center on dangerous accusations. Dangerous accusations portray the other as capable of mystical harm and, when made by cultural authorities, become socially accepted truths if repeated during rituals of veridiction. This article shows that dangerous accusations are at the heart of religious hate propaganda and exploit cognitive biases for threat perception, coalitional psychology, and costly signaling. Moreover, dangerous accusations can reinforce the social order and maintain social cohesion. Together, an analysis of speech crimes and dangerous accusations shed light on how religious hate propaganda works, how it can offer meaning to religious communities, and how it can justify persecution in certain environments. Full article

In case of dangerous driving, the in-vehicle robot can provide multimodal warnings to help the driver correct the wrong operation, so the impact of the warning signal itself on driving safety needs to be reduced. This study investigates the design of multimodal warnings for in-vehicle robots under driving safety warning scenarios. Based on transparency theory, this study addressed the content and timing of visual and auditory modality warning outputs and discussed the effects of different robot speech and facial expressions on driving safety. Two rounds of experiments were conducted on a driving simulator to collect vehicle data, subjective data, and behavioral data. The results showed that driving safety and workload were optimal when the robot was designed to use negative expressions for the visual modality during the comprehension (SAT 2) phase and speech at a rate of 345 words/minute for the auditory modality during the comprehension (SAT 2) and prediction (SAT 3) phases. The design guideline obtained from the study provides a reference for the interaction design of driver assistance systems with robots as the interface. Full article

Acoustic emission (AE) monitoring is an effective tool to quantify the dynamic damage that may cause heavy casualties and huge property losses in rock engineering. Instead of traditional failure evaluation methods, in this paper, the coal failure mechanism is evaluated in a complicated geological environment under uniaxial compression tests by employing machine learning (ML) and automatic speech recognition (ASR). Taking advantage of the ASR technology, the Mel-frequency cepstrum coefficients (MFCC) were extracted as sample features, while ML was used to paradigm the artificial intelligent evaluation of the failure probability of coal (AIEFPC). Additionally, the five-fold cross-validation method was used to assess the AIEFPC predictive effect incorporating cumulative hits number, cumulative ring count, and amplitude as sample features. The influence of category weight on the prediction effect of AIEFPC on a different category of sample sets has been discussed and analyzed. The results show that AIEFPC has the potential to use the MFCC of the 40 ms AE segment at any time to predict the dangerous state of the coal sample with a prediction accuracy of >85%. The probability value of the hazardous samples is computed through AIEFPC that further helped in evaluating the reliability of the prediction results. It is inferred from the obtained results that a larger category weight value of the hazardous samples can improve the prediction accuracy of AIEFPC than the safe sample. This research provides a new way of effectively predicting the coal failure probability before the damage and failure that can be applied to worldwide case-studies. Full article

Few topics are currently as polarizing as the appropriate limits, and perceived dangers, of free speech on university campuses. A side effect of this polarized environment is that students themselves may be reluctant to speak publicly on politically sensitive topics. Indeed, recent surveys by the Heterodox Academy (HxA) revealed that a majority of American university students thought their campus was not conducive to the free expression of ideas, and a substantial minority were personally reluctant to discuss “hot topics” like politics or sexual orientation in class. To see whether these results are uniquely American phenomena, we reran the HxA’s survey on 791 students, recruited via advertisements, enrolled in New Zealand universities. As in the original survey, participants answered questions, administered online, about their comfort sharing their opinions on issues related to gender, politics, religion, and sexual orientation, as well as their estimates of other groups’ discomfort. Despite significant sociopolitical differences between the two countries, our results, generally speaking, bear out those in the United States. In both countries, politics elicited the most reluctance to speak, followed by religion, and then gender and sexual orientation (which were equivalent), and New Zealanders were more reluctant than Americans to speak on the latter two topics. Other similarities and differences between the two data sets are discussed, but it is clear that chilled campus speech is not confined to the United States. Full article

This paper considers the issue of the search and rescue operation of humans after natural or man-made disasters. This problem arises after several calamities, such as earthquakes, hurricanes, and explosions. It usually takes hours to locate the survivors in the debris. In most cases, it is dangerous for the rescue workers to visit and explore the whole area by themselves. Hence, there is a need for speeding up the whole process of locating survivors accurately and with less damage to human life. To tackle this challenge, we present a scalable solution. We plan to introduce the usage of robots for the initial exploration of the calamity site. The robots will explore the site and identify the location of human survivors by examining the video feed (with audio) captured by them. They will then stream the detected location of the survivor to a centralized cloud server. It will also monitor the associated air quality of the selected area to determine whether it is safe for rescue workers to enter the region or not. The human detection model for images that we have used has a mAP (mean average precision) of 70.2%. The proposed approach uses a speech detection technique which has an F1 score of 0.9186 and the overall accuracy of the architecture is 95.83%. To improve the detection accuracy, we have combined audio detection and image detection techniques. Full article

Hoarseness in school-aged children may affect their educational achievement and interfere with their communication and social skills development. The global prevalence of hoarseness in school-aged children ranges between 6% and 23%. To the best of our knowledge, there is a scarcity of studies describing the prevalence or determinates of hoarseness in Saudi school-aged children. Our aim was to measure the prevalence of hoarseness among school-aged children and to identify its determinants. A cross-sectional questionnaire-based survey was used that included randomly selected primary and early childhood schools from private and governmental sectors in Saudi Arabia. The data were collected using a questionnaire which was self-completed by the children’s parents and covered the following aspects: sociodemographic features, health and its related comorbidities about children and their families, attendance and performance in school, child’s voice tone, past history of frequent crying during infancy, history of letter pronunciation problems and stuttering, the Reflux Symptom Index (RSI) and the Children’s Voice Handicap Index-10 for parents (CVHI-10-P). Determinants of hoarseness were investigated using the SPSS software (version 20). The mean age of the study children (n = 428) was 9.05 years (SD = 2.15), and 69.40% of them were male. The rate of hoarseness in the participants was 7.5%. Hoarseness was significantly common in children with a history of excessive infancy crying (p = 0.006), letter pronunciation issues (especially ‘R’ and ‘S’; p = 0.003), and stuttering (p = 0.004) and in those with a previous history of hoarseness (p = 0.023). In addition, having the symptoms of gastrointestinal reflux increased the risk of hoarseness by four times (OR = 4.77, 95% CI = 2.171, 10.51). In summary, hoarseness in children may be dangerously underestimated, as it may reflect the presence of speech problems, in addition to the presence of laryngopharyngeal reflux (LPR). Hoarseness was assumed on the basis of parental complaints. Therefore, further research with diagnoses based on a clinical assessment is needed to understand the magnitude of the hoarseness problem and its consequences in children. Full article

This article provides a deep dive into several recent cases of majoritarian hate speech and violence perpetrated against Muslims in India. We first provide an introduction to Hindutva as a social movement in India, followed by an examination of three case studies in which Islamophobic hate speech circulated on social media, as well as several instances of anti-Muslim violence. These case studies—the Delhi riots, the Love Jihad conspiracy theory, and anti-Muslim disinformation related to the COVID pandemic—show that Hindu nationalism in India codes the Muslim minority in the country as particularly dangerous and untrustworthy. Full article

BACKGROUND: Tetralogy of Fallot (TOF) represents between 7 and 10% of the total cases of congenital heart defects (CHD) and is estimated to be the most common cyanotic CHD, requiring medical or surgical intervention within the first year of life. Current advances in prenatal screening and fetal echocardiography led to increased rates of prenatal diagnosis of TOF. Furthermore, improvements in initial medical care, surgical repair, and long-term care are associated with excellent long-term survival until adulthood. Consequently, issues of morbidity have come under the spotlight, specifically neurodevelopmental and psychiatric adverse outcomes, which affect the quality of life of TOF survivors. METHOD: This study is a systematic review of English articles, using PUBMED and applying the following search terms, Tetralogy of Fallot, neurodevelopment, autism, cerebral palsy, attention-deficit hyperactivity disorder. Data were extracted by two authors. RESULTS: Most researchers suggest that TOF survivors score lower in neurodevelopmental tests than healthy populations of the same age and are in danger of neurodevelopmental impairments. Furthermore, it is suggested that TOF adolescents show higher rates of psychiatric disorders. CONCLUSIONS: The neurodevelopment of TOF survivors is not intensively studied. Existing studies in TOF survivors focus on different developmental aspects, using different evaluation methods and thus making conclusions for either one of the four aspects of neurodevelopment (executive function, cognition, and adaptive function, speech-language and motor function, or neuropsychiatric domain). The poor outcomes of these isolated studies indicate the need for future research as well as for continuous neuropsychological assessment and close monitoring of children and adolescents with TOF. Full article

This article argues that it is not Buddhism, per se, but rather Buddhist extremism, that is responsible for violence against relevant out-groups. Moreover, it suggests that the causes of Buddhist extremism, rather than being determined solely by textual and scriptural justifications for out-group violence, are rooted instead in the intersection between social psychology and theology, rather than organically arising from the latter, per se. This article unpacks this argument by a deeper exploration of Theravada Buddhist extremism in Sri Lanka. It argues that religious extremism, including its Buddhist variant, is best understood as a fundamentalist belief system that justifies structural violence against relevant out-groups. A total of seven of the core characteristics of the religious extremist are identified and employed to better grasp how Buddhist extremism in Sri Lanka manifests itself on the ground. These are: the fixation with maintaining identity supremacy; in-group bias; out-group prejudice; emphasis on preserving in-group purity via avoidance of commingling with the out-group; low integrative complexity expressed in binary thinking; dangerous speech in both soft- and hard-modes; and finally, the quest for political power, by force if needed. Future research could, inter alia, explore how these seven characteristics also adequately describe other types of religious extremism. Full article

Starting with a speech by Theodor Adorno, the essay analyzes some thematic parallels between political and religious populism regarding the view on gender and feminism. In both certain traditional Catholic circles and right-wing political parties, an explicit hostility toward gender can be observed. In this article, this resentment is discussed in three aspects: the defense of a traditional image of the family, the instrumentalization of women’s rights against “the Islam”, and, generally, the propaganda of anti-feminism or anti-genderism. Moreover, the text considers the fact that in spite of anti-feminist positions, many women are part of these movements, sometimes even as leaders. The text will prove that this is only a superficial contradiction. The right-wing populist groups—both secular and religious—promise to reduce the potential threat to modern societies while “preserving” the traditional order. The coalitions between them run along the lines of the “values” represented, including anti-feminism and anti-genderism. The danger that these “alliances” pose to a liberal society must not be underestimated by the religious and secular actors who value and protect ambiguity and diversity. Full article

This research article explores how two English universities with Anglican foundations responded to UK government requirements to counter radicalization on campus. Semi-structured interviews were conducted with student union representatives, senior staff in the universities responsible for implementing the legal requirements and also those with special responsibility for religion. Christian foundation education institutions are required to implement government policy in response to visible radical and religious extremism. The UK higher education context is post-Christian (with lower levels of religious adherence) and post-secular (with greater plurality and greater prominence of controversial religious-related issues). It presents challenges for Christian university identity when meeting the complex concerns about dangers to students, university independence and free speech, and common values and public accountability. The research found that key to universities being able to respond effectively to the challenge of legal compliance and student welfare, was staff expertise in religion, but they have doubts about their capacity to respond effectively, and both staff and student have fears about this policy. Full article